Works matching IS 09255001 AND DT 2022 AND VI 84 AND IP 1
Results: 10
On the global minimization of discretized residual functionals of conditionally well-posed inverse problems.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 149, doi. 10.1007/s10898-022-01139-x
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Several approximation algorithms for sparse best rank-1 approximation to higher-order tensors.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 229, doi. 10.1007/s10898-022-01140-4
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 43, doi. 10.1007/s10898-022-01138-y
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Covering a simplex by spheres: complexity and algorithms.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 119, doi. 10.1007/s10898-022-01137-z
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The projected polar proximal point algorithm converges globally.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 177, doi. 10.1007/s10898-022-01136-0
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Sufficient conditions for existence of global minimizers of functions on Hilbert spaces.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 137, doi. 10.1007/s10898-022-01133-3
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Finding non dominated points for multiobjective integer convex programs with linear constraints.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 95, doi. 10.1007/s10898-022-01132-4
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Fractional 0–1 programming and submodularity.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 77, doi. 10.1007/s10898-022-01131-5
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Quasi-contingent derivatives and studies of higher-orders in nonsmooth optimization.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 205, doi. 10.1007/s10898-022-01129-z
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The supporting hyperplane optimization toolkit for convex MINLP.
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- Journal of Global Optimization, 2022, v. 84, n. 1, p. 1, doi. 10.1007/s10898-022-01128-0
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